Staff Software Engineer, Ray Data
Anyscale · San Francisco
CHECKED 3H AGO
Infrastructureonsitestaff$240k–$270k
At a glance
Highlights
- Build core systems powering Ray Data for multimodal AI workloads at scale.
- Optimize distributed execution across pipeline stages in heterogeneous environments.
- Solve scaling challenges with AI-native companies building next-gen AI apps.
What they offer
- Competitive salary and equity
- Health/dental/vision coverage (many plans up to 99% employer-covered)
- Flexible time off
- Paid parental leave
- Mental health support
Ideal candidate
Seasoned distributed systems builder who loves tackling unsolved performance and scale problems and owning core architecture decisions that power next-generation AI workloads.
Requirements
- 6+ years building production-grade software, infrastructure, or developer-facing systems with strong Python
- 6+ years owning core architectural decisions within a distributed data or compute engine
- Deep experience with distributed systems internals such as scheduling, fault tolerance and partitioning
- Track record reasoning through system-level tradeoffs and defending architectural decisions
- Passion for solving unsolved problems in large-scale AI infrastructure
Lab profile
About Anyscale
Democratizing distributed computing by commercializing Ray for scalable machine learning and AI.
What they build
- Ray
- Ray Data
- Anyscale Runtime
Known for
- Distributed computing
- Scalable machine learning
- Distributed LLM inference
- Cloud infrastructure